A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults
Wearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior. However, to the best of our knowledge, there are no open datasets in the literature that provide psycho-physiological data. The...
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doaj-6e27f526daca4d8eafd185f8ebcee1a42020-11-25T03:52:48ZengMDPI AGData2306-57292020-09-015919110.3390/data5040091A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy AdultsAlessio Rossi0Eleonora Da Pozzo1Dario Menicagli2Chiara Tremolanti3Corrado Priami4Alina Sîrbu5David A. Clifton6Claudia Martini7Davide Morelli8Department of Computer Science, University of Pisa, 56127 Pisa, ItalyDepartment of Pharmacy, University of Pisa, 56126 Pisa, ItalyMOMILab, IMT School for Advanced Studies Lucca, 55100 Lucca, ItalyDepartment of Pharmacy, University of Pisa, 56126 Pisa, ItalyDepartment of Computer Science, University of Pisa, 56127 Pisa, ItalyDepartment of Computer Science, University of Pisa, 56127 Pisa, ItalyDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UKDepartment of Pharmacy, University of Pisa, 56126 Pisa, ItalyDepartment of Engineering Science, University of Oxford, Oxford OX1 3PJ, UKWearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior. However, to the best of our knowledge, there are no open datasets in the literature that provide psycho-physiological data. The Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset presented in this paper provides 24 h of continuous psycho-physiological data, that is, inter-beat intervals data, heart rate data, wrist accelerometry data, sleep quality index, physical activity (i.e., number of steps per second), psychological characteristics (e.g., anxiety status, stressful events, and emotion declaration), and sleep hormone levels for 22 participants. The MMASH dataset will enable the investigation of possible relationships between the physical and psychological characteristics of people in daily life. Data were validated through different analyses that showed their compatibility with the literature.https://www.mdpi.com/2306-5729/5/4/91heart rate variabilitysleep qualityanxiety statusstressful eventsemotionphysical activity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alessio Rossi Eleonora Da Pozzo Dario Menicagli Chiara Tremolanti Corrado Priami Alina Sîrbu David A. Clifton Claudia Martini Davide Morelli |
spellingShingle |
Alessio Rossi Eleonora Da Pozzo Dario Menicagli Chiara Tremolanti Corrado Priami Alina Sîrbu David A. Clifton Claudia Martini Davide Morelli A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults Data heart rate variability sleep quality anxiety status stressful events emotion physical activity |
author_facet |
Alessio Rossi Eleonora Da Pozzo Dario Menicagli Chiara Tremolanti Corrado Priami Alina Sîrbu David A. Clifton Claudia Martini Davide Morelli |
author_sort |
Alessio Rossi |
title |
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults |
title_short |
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults |
title_full |
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults |
title_fullStr |
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults |
title_full_unstemmed |
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults |
title_sort |
public dataset of 24-h multi-levels psycho-physiological responses in young healthy adults |
publisher |
MDPI AG |
series |
Data |
issn |
2306-5729 |
publishDate |
2020-09-01 |
description |
Wearable devices now make it possible to record large quantities of physiological data, which can be used to obtain a clearer view of a person’s health status and behavior. However, to the best of our knowledge, there are no open datasets in the literature that provide psycho-physiological data. The Multilevel Monitoring of Activity and Sleep in Healthy people (MMASH) dataset presented in this paper provides 24 h of continuous psycho-physiological data, that is, inter-beat intervals data, heart rate data, wrist accelerometry data, sleep quality index, physical activity (i.e., number of steps per second), psychological characteristics (e.g., anxiety status, stressful events, and emotion declaration), and sleep hormone levels for 22 participants. The MMASH dataset will enable the investigation of possible relationships between the physical and psychological characteristics of people in daily life. Data were validated through different analyses that showed their compatibility with the literature. |
topic |
heart rate variability sleep quality anxiety status stressful events emotion physical activity |
url |
https://www.mdpi.com/2306-5729/5/4/91 |
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